MATH 302 - Systems Biology

Systems biology is an emerging interdisciplinary field that focuses on system level understanding of complex interactions of biological processes using quantitative approaches. The course focuses on the applications of mathematical techniques such as differential equations, network structure measures, machine learning and modeling (e.g., Boolean and stochastic modeling) to the study of gene regulation, synthetic gene circuits, small- and large-scale biological networks, and signal transduction pathways. Students also learn how to use computer software that is designed for biological data analysis such as GenePattern and COPASI.

Credits: 1.00
Crosslisted: BIOL 302
When Offered: Fall semester only, in alternate years

Corequisite: None
Prerequisites: (MATH 161 or MATH 111 or MATH 162 or MATH 112) and (BIOL 182 or MATH 163 or MATH 113 or PHYS 204 or COSC 101)
Major/Minor Restrictions: None
Class Restriction: None
Area of Inquiry: Natural Sciences & Mathematics
Liberal Arts CORE: None

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